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Fast acquisition of NMR spectra using Fourier transform of non-equispaced data

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Abstract

Rapid acquisition of high-resolution 2D and 3D NMR spectra is essential for studying biological macromolecules. In order to minimize the experimental time, a non-linear sampling scheme is proposed for the indirect dimensions of multidimensional experiments. These data can be processed using the algorithm proposed by Dutt and Rokhlin (Appl. Comp. Harm. Anal. 1995, 2, 85–100) for fast Fourier transforms of non equispaced data. Examples of 1H−15N HSQC spectra are shown, where crowded correlation peaks can be resolved using non-linear acquisition. Simulated data have been used to analyze the artefacts produced by the Lagrange interpolation. As compared to non-linear processing methods, this algorithm is simple and highly robust since no parameters need to be adjusted by the user.

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Abbreviations

LP:

linear prediction

MEM:

maximum entropy method.

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Authors and Affiliations

  1. Institut de Biologie Structurale “Jean-Pierre Ebel”, CNRS-CEA-UJF, 41, Rue Jules Horowitz, 38027, Grenoble Cedex 1, France

    Dominique Marion

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  1. Dominique Marion
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Correspondence to Dominique Marion.

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Marion, D. Fast acquisition of NMR spectra using Fourier transform of non-equispaced data. J Biomol NMR 32, 141–150 (2005). https://doi.org/10.1007/s10858-005-5977-5

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